TY - CHAP
T1 - Towards network-wide QoE fairness using openflow-assisted adaptive video streaming
AU - Georgopoulos, Panagiotis
AU - Elkhatib, Yehia
AU - Broadbent, Matthew
AU - Mu, Mu
AU - Race, Nicholas
PY - 2013
Y1 - 2013
N2 - Video streaming is an increasingly popular way to consumemedia content. Adaptive video streaming is an emerging de-livery technology which aims to increase user QoE and max-imise connection utilisation. Many implementations naivelyestimate bandwidth from a one-sided client perspective, with-out taking into account other devices in the network. Thisbehaviour results in unfairness and could potentially lowerQoE for all clients. We propose an OpenFlow-assisted QoEFairness Framework that aims to fairly maximise the QoEof multiple competing clients in a shared network environ-ment. By leveraging a Software Dened Networking tech-nology, such as OpenFlow, we provide a control plane thatorchestrates this functionality. The evaluation of our ap-proach in a home networking scenario introduces user-levelfairness and network stability, and illustrates the optimisa-tion of QoE across multiple devices in a network.
AB - Video streaming is an increasingly popular way to consumemedia content. Adaptive video streaming is an emerging de-livery technology which aims to increase user QoE and max-imise connection utilisation. Many implementations naivelyestimate bandwidth from a one-sided client perspective, with-out taking into account other devices in the network. Thisbehaviour results in unfairness and could potentially lowerQoE for all clients. We propose an OpenFlow-assisted QoEFairness Framework that aims to fairly maximise the QoEof multiple competing clients in a shared network environ-ment. By leveraging a Software Dened Networking tech-nology, such as OpenFlow, we provide a control plane thatorchestrates this functionality. The evaluation of our ap-proach in a home networking scenario introduces user-levelfairness and network stability, and illustrates the optimisa-tion of QoE across multiple devices in a network.
UR - http://dl.acm.org/citation.cfm?doid=2491172.2491181
UR - http://www.mendeley.com/research/towards-networkwide-qoe-fairness-using-openflowassisted-adaptive-video-streaming
U2 - 10.1145/2491172.2491181
DO - 10.1145/2491172.2491181
M3 - Chapter
C2 - 23089152
SN - 9781450321839
T3 - Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking - FhMN '13
SP - 15
BT - Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking - FhMN '13
PB - Association for Computing Machinery (ACM)
CY - New York, New York, USA
ER -